Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

Objective To summarize the use of deep learning in the detection of voice disorders using
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …

As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …

Rise of predictive techniques have changed the manner we deal with disease diagnosis in
healthcare domain. Earlier detail analysis of patient data records was done for disease …

Biomarkers obtained from a person's voice may provide interpretations into brain-related
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …

Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …

Electrocardiogram (ECG) is generally used to detect cardiac risks due to its lucidity and non-
invasiveness. During the past decades, several studies have helped to create an automatic …

One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …

In Japan, there is a growing initiative to construct centralized databases and platforms that
can aggregate and manage a vast range of medical, health, and caregiving data for …

COVID-19 has led to unwanted and serious consequences from the very time of its spread.
Economical India has faced a lot since COVID started spreading, and it has persisted to …